Operating AI: Bridging the Gap Between Technology and Business

275 Pages·2022·4.36 MB·English

by  Ulrika Jägare

Operating AI
Bridging the Gap Between
Technology and Business
Ulrika Jägare
Copyright © 2022 by John Wiley & Sons, Inc. All rights reserved.
Published by John Wiley & Sons, Inc., Hoboken, New Jersey.
Published simultaneously in Canada.
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To my mother Ulla, who inspired me at a very young age to love writing
and reading books, and to my two wonderful sons, Rasmus and Emil,
who always supports my writing.
About the Author
Ulrika Jägare is an M.Sc. director at the global telecommunications
company Ericsson AB. She has 22 years of experience in telecommuni-
cations in various leadership positions across research & development,
product management, services, and sales. During the last 12 years, Ulrika
has specialized in AI and data science, with a focus on bridging the gap
between technology and business to enable business realization in prac-
tice. Ulrika established the first AI strategy for Ericsson and has been
instrumental in implementing a data- driven approach across Ericsson
through various major global initiatives. She was responsible for initi-
ating Ericsson’s first AI-b ased commercial offerings. Currently she leads a
global AI and automation initiative in the area of Internet of Things (IoT).
Ulrika is also passionate about helping other companies leverage data
science and AI in practice. She is a speaker and author in data science and
in 2019 published Data Science Strategy for Dummies (Wiley), which is used
in university courses in various countries. In addition, she has written
several other books in data science since 2018 (Wiley) in collaboration
with companies such as Databricks, Trifacta, Arm, Nice, and Cloudera.
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About the Technical Editor
Mattias Lidström is a director of data science and machine learning at the
telecommunications company Ericsson AB, where he defines and drives
the adoption of AI within the company’s products and services. Mattias
has an extensive background in research in the fields of AI and machine
learning, with more than 15 years’ experience developing new concepts
for AI, machine learning, policy control, user knowledge management,
and context-aware services. His main area of interest is data science,
particularly complex systems with big data and real-time communica-
tion. He holds an M.Sc. in computer science from KTH, Royal Technical
Institute in Stockholm.
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Acknowledgments
I have been fortunate to work again with professionals from Wiley to
create this book.
I would like to thank Jim Minatel, associate publisher at John Wiley &
Sons, and John Sleeva, project editor, who managed the process that got
us from outline to a finished manuscript. Thanks to Christine O’Connor,
managing editor, for making the last stages of book development go as
smoothly as they did.
I am especially grateful for the expert support from my technical editor,
Mattias Lidström, who is also a colleague at Ericsson AB.
Thank you to Mazin Gilbert, PhD and director at Google, for your
support and for writing a relevant and engaging foreword to this book.
I truly appreciate your view on applying AI in practice and the experi-
ences you bring with you from your time at AT&T.
Finally, I would like to thank Kirk Borne, PhD and chief science officer
at DataPrime, for taking the time to read my book and for your strong
endorsement.
— Ulrika Jägare
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Contents at a Glance
Foreword xii
Introduction xv
Chapter 1 Balancing the AI Investment 1
Chapter 2 Data Engineering Focused on AI 31
Chapter 3 Embracing MLOps 71
Chapter 4 Deployment with AI Operations in Mind 115
Chapter 5 Operating AI Is Different from Operating Software 143
Chapter 6 AI Is All About Trust 181
Chapter 7 Achieving Business Value from AI 215
Index 241
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